Sr. Data Scientist

As a Senior Data Scientist at Hims & Hers, you will be responsible for utilizing data science and machine learning techniques to enhance the company's marketing, products, and processes. Collaborating with various teams, including Analytics, Product, Marketing, and Operations, you will conduct in-depth analysis, build models, and develop innovative ML solutions in the telehealth industry. The ideal candidate will have a strong background in deploying data science and machine learning solutions in marketing, business analytics, and operations, along with excellent communication and collaboration skills. This role offers the opportunity to be part of a growing data science organization and contribute to disrupting the healthcare industry through data-driven solutions.

Identify opportunities to apply data science and machine learning solutions across marketing, business analytics, and operations

Process data from disparate sources and perform sophisticated analysis to enable decision making by leveraging exploratory data analysis, statistical modeling or machine learning techniques

Drive projects in areas like customer segmentation, customer lifetime value and retention prediction, importance modeling of early customer interactions, and revenue forecasting

Contribute to marketing mix modeling and marketing attribution models

Supervise and shape marketing and growth experimentation practices

Partner with engineers and business stakeholders to design, develop and deploy ML products end-to-end to drive business outcomes

Contribute to the development of maturation of data science ecosystems, playbooks and best practices

3+ years of experience in data science

MS or PhD degree in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, or related fields

Expert-level knowledge in statistical experimentation or A/B testing principles

Proficient in working with structured and unstructured data from multiple sources using data science programming languages, such as Python or R

Expert use of SQL to support analysis and data science methods

Solid background in machine learning and statistical modeling techniques, such as classification, clustering, dimensionality reduction, forecasting, recommender system, and optimization

Knowledge in Deep Learning, CNN’s, GAN’s, Natural Language Processing (NLP) is a plus

Experience of the entire ML model lifecycle (modeling approach ideation, data exploration, model development and prototyping, deployment, monitoring and iteration)

Experience with cloud-based platforms, such as Google Cloud Platform or AWS

Results-oriented with strong project management and communications skills

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats